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Probability Checkpoint
Basic probability and Bayes theorem.
1. P(A or B) for mutually exclusive events is:
P(A) + P(B)
P(A) * P(B)
P(A) - P(B)
P(A) / P(B)
2. Bayes' theorem relates:
Prior and posterior probabilities
Mean and variance
Population and sample
Loss and accuracy
3. The probability of all outcomes in a sample space sums to:
1
0
Infinity
Depends on the space
4. Name a common discrete probability distribution.
5. P(A|B) means:
Probability of A given B occurred
A and B together
A or B
A causes B
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